JARobotaxi Fleet Support Specialist

Early-career cybersecurity learner focused on IoT defenses

I practice real-world IoT attack and defense techniques and build security playbooks to strengthen my resume for internships and entry roles.

Work samples

Portfolio items focus on hands-on IoT cyber defense: attack techniques, defensive implementations, and the documentation I produced from an externship.

  • Hydroficient IoT Cyber Defense Externship
    Hydroficient IoT Cyber Defense Externship
    Hydroficient logo

    Hydroficient · Mar 2026 · ✅ Verified by Extern

    Hydroficient IoT Cyber Defense Externship

    Build, hack, and defend real IoT infrastructure, then hand your security playbook to an actual company. You’ll launch realistic cyberattacks, from spoofing and replay attacks to unauthorized shutoffs, and implement defenses like TLS and mTLS.

    Top performerPython ProgrammingData AnalysisThreat ModelingDashboard Development
  • IoT monitoring environment using MQTT with TLS/mTLS
    IoT monitoring environment using MQTT with TLS/mTLS

    Designed and secured an IoT monitoring environment using MQTT with TLS, mutual TLS (mTLS), HMAC verification, timestamp validation, and sequence tracking. Simulated cyber-attacks including message tampering and replay attacks to validate layered security defenses. Built a real-time security dashboard that monitored device activity, detected blocked attacks, and displayed security events. Implemented machine learning–based anomaly detection using Isolation Forest to identify unusual device behavior alongside traditional security controls.

    MQTTTLSmTLSHMACIsolation Forestsecurity dashboard

About me

I practice real-world IoT attack and defense techniques and build security playbooks to strengthen my resume for internships and entry roles.

I am Jime Aguiar Augusto, currently in college with limited formal work experience and focused on quickly strengthening my resume. I have completed an IoT cyber defense externship where I practiced attacking and defending real IoT infrastructure and documented security measures like TLS and mTLS.

Externships

Hydroficient IoT Cyber Defense Externship

Completed · Mar 2026

Experience

Robotaxi Fleet Support Specialist

Tesla, Inc. · 01/2026 - Present

Delivery Driver

Prolific Logistics · 08/2023 – 09/2025

Fulfillment Associate

Amazon LLC · 12/2020 – 12/2022

Education

Lone Star Community College – Cypress, Texas

Cypress Lakes High School – Katy, Texas

Skills

IoT attack techniques (spoofing, replay)IoT defensive controls (TLS, mTLS)Security playbook writingHands-on cyber range practiceResume and career readiness focus

✅ Verified by Extern

Hydroficient IoT Cyber Defense Externship

Build, hack, and defend real IoT infrastructure, then hand your security playbook to an actual company. You’ll launch realistic cyberattacks, from spoofing and replay attacks to unauthorized shutoffs, and implement defenses like TLS and mTLS.

Python ProgrammingData AnalysisThreat ModelingDashboard Development

Overview

The work documented the Grand Marina Hotel's hydrologic IoT deployment, produced a STRIDE threat model, built and secured an MQTT pipeline, and produced a real-time dashboard and capstone slide deck summarizing defenses and tests. The work was awarded Top Performer by Hydroficient.

Hydroficient IoT Cyber Defense Externship

What I've accomplished

I produced a complete security package for a hydrologic IoT system: a STRIDE threat model, sensor data generator and logs, an MQTT design, TLS/mTLS implementations with test evidence, replay-attack mitigations with test results, an Isolation Forest anomaly model, and a live dashboard and capstone deck.

Top performer

Project breakdown

View all work

IoT monitoring environment using MQTT with TLS/mTLS

Designed and secured an IoT monitoring environment using MQTT with TLS, mutual TLS (mTLS), HMAC verification, timestamp validation, and sequence tracking. Simulated cyber-attacks including message tampering and replay attacks to validate layered security defenses. Built a real-time security dashboard that monitored device activity, detected blocked attacks, and displayed security events. Implemented machine learning–based anomaly detection using Isolation Forest to identify unusual device behavior alongside traditional security controls.

MQTTTLSmTLSHMACIsolation Forestsecurity dashboard
View all work